Spatio-temporal Heterogeneity Analysis of Factors Influencing the Evolution of Regional Green Space Pattern in Nanjing Metropolitan Area
To clarify the spatial and temporal heterogeneity of the factors influencing the evolution of re-gional green space(RGS)patterns,it is crucial to have a comprehensive understanding of the underlying mechanism at the macro scale.This study used the Geographical Detector and Geographically Weighted Re-gression(GWR)models to identify the influencing factors and analyse their spatial and temporal heteroge-neity in the evolution of RGS patterns in the Nanjing metropolitan area from 2000 to 2020.The results showed that 1)The scale of RGS decreased with severe landscape disturbance in the first decade,followed by an increase in scale and mitigation of landscape fragmentation in the following decade.2)Key factors such as GDP,population density,total food production,forestry and fishery products,distance to built-up areas,forestry and water finance expenditures,and the size of nature reserves above the provincial level sig-nificantly influenced the RGS pattern.3)The intensity of the impact of these key factors showed considera-ble spatial and temporal variability.In particular,the influence of GDP on the RGS pattern initially first in-creased and then decreased,while the influence of population density,total food production,and distance from built-up areas continued to increase.The primary influence of GDP and population density gradually shifted to the western,southern and peri-urban regions of the metropolitan area,while the influence of total food production and distance from built-up areas increased in the northern plains.In addition,the positive impact of forestry and water finance expenditure and the size of nature reserves above the provincial level on the RGS pattern has gradually strengthened,with a markedly expanded spatial influence.This study can provide a reference and basis for the Nanjing metropolitan area to develop a regionalised and differentiated RGS protection strategy.
regional green spacepattern evolutionspatio-temporal heterogeneity